01
AI Foundations
Understand what AI is, how systems learn, where they fail, and how to judge claims without hype.
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Five outcome-based courses
Each course includes explicit outcomes, mapped competencies, practice activities, and an applied capstone.
02
Responsible AI User
Use AI productively while protecting privacy, checking outputs, and preserving human accountability.
03
AI at Work
Evaluate workplace use cases, run safe pilots, measure value, and communicate changes responsibly.
04
AI Policy & Society
Analyze AI systems through rights, equity, governance, safety, and public-interest outcomes.
05
Building with AI Systems
Understand language models, retrieval, agents, evaluation, cost, and deployment safeguards through practical system design.
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FundamentalsCore concepts: how AI works at a high level.84 guides Language AILLMs, NLP, ChatGPT, prompting, and text understanding.155 guides Visual AIImage generation, computer vision, video, and design.133 guides Audio AIVoice, music, podcasting, and audio-first AI.117 guides CompaniesProfiles of OpenAI, Anthropic, Google, Meta, and more.121 guides ApplicationsHow AI shows up in coding, search, agents, and daily life.111 guides IndustriesAI in healthcare, finance, education, energy, and more.91 guides TechnicalChips, fine-tuning, RAG, vectors, and AI infrastructure.177 guides SocietyBias, privacy, copyright, safety, and the AI future.30 guides
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Audio AI
Beamforming and Microphone Arrays
Beamforming uses multiple microphones to listen in a chosen direction, amplifying sound from a target while suppressing everything else.
Audio AIRiffusion Spectrogram Diffusion
Riffusion is a clever hack that generates music by treating sound as a picture: it fine-tunes the Stable Diffusion image model to paint spectrograms, then…
Audio AIMusicLM: Hierarchical Semantic and Acoustic Tokens
Learn how Google MusicLM uses hierarchical semantic and acoustic tokens, SoundStream, and MuLan to turn text prompts into coherent music.
Audio AINoise2Noise Speech Enhancement
Noise2Noise is a training trick that lets a model learn to remove noise without ever seeing a clean reference, by learning from pairs of differently-noisy…
Audio AIConv-TasNet Time-Domain Separation
Conv-TasNet is a neural network that separates mixed audio (like two people talking at once) by working directly on the raw sound waveform instead…
Audio AIDual-Path RNN Separation
Dual-Path RNN (DPRNN) is an audio separation architecture that splits a very long sequence of audio features into short overlapping chunks and processes them…
Audio AIOpen-Unmix Music Separation
Open-Unmix (UMX) is an open-source deep learning system that splits a song into its parts: vocals, drums, bass, and other instruments.
Audio AIWhisper Timestamped Word Alignment
Whisper word alignment pins each transcribed word to an exact start and end time in the audio.
Audio AIMusic Tagging with Transformers
Music tagging uses transformer models to listen to a song and predict descriptive labels like genre, mood, instruments, and tempo.
Audio AIOnset Detection in Audio
Onset detection finds the precise moments when notes, beats, or sounds begin in an audio signal.
Audio AIMelGAN Generative Vocoder
MelGAN is a fully convolutional GAN-based vocoder that turns mel-spectrograms into raw audio waveforms in a single fast forward pass.
Audio AIUnivNet Multi-Resolution Vocoder
UnivNet is a GAN vocoder that judges generated audio using multiple spectrograms computed at different STFT resolutions, sharpening high-frequency detail.
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